Senior Cloud Data Engineer – Google Cloud Platform

1 week ago

Sydney, New South Wales, Australia ZSoft Technologies Full time $90,000 - $120,000 per year
Key Duties:
  • Translate complex functional and technical requirements into detailed technical designs and engineering solutions.
  • Design, develop, test, and maintain scalable data pipelines, ELT/ETL frameworks, and data storage solutions on Google Cloud Platform (GCP).
  • Lead and mentor a team of data engineers and developers, driving excellence and continuous improvement in delivery.
  • Build and maintain DataOps automation and CI/CD pipelines for data infrastructure.
  • Deliver Data Management artefacts including Data Strategies, Business Glossaries, Data Quality Rules, and Governance Principles.
  • Present technical data artefacts to stakeholders and contribute to showcases and executive briefings.
  • Support concurrent project releases within hybrid delivery environments using Agile, SAFe, and ITIL frameworks.
  • Ensure performance tuning, reliability, and security of data products across cloud environments.
  • Contribute to and enforce data governance and security compliance policies.
Key Responsibilities:
  • Collaborate with cross-functional stakeholders (Executives, Product, Design, Technical) to understand data-related business requirements.
  • Manage the full lifecycle of cloud-native data engineering projects.
  • Monitor and optimize data workflows for cost efficiency, performance, and resilience.
  • Ensure data quality and integrity through validation, governance, and observability practices.
  • Design and maintain high-performance BigQuery datasets, integrate with services like Dataflow, Cloud Storage, and Dataprep.
Essential Experience:
  • Proven experience in data engineering on Google Cloud Platform, including BigQuery, Dataflow, Dataprep, Cloud Storage, and Cloud Composer.
  • Strong background in designing and implementing ELT/ETL pipelines, data lakes, and data warehousing solutions.
  • Hands-on expertise in building scalable CI/CD pipelines and automating infrastructure through DataOps methodologies.
  • Solid experience working in hybrid delivery environments – Agile, SAFe, ITIL, or Waterfall.
  • Track record of producing and managing enterprise data artefacts and data management strategies.
  • Demonstrated ability to work with multidisciplinary teams and provide technical leadership.
  • Strong communication and stakeholder engagement skills, particularly in a large, complex environment.
Desirable Skills:
  • Experience in data governance, security compliance, and metadata management.
  • Familiarity with scripting and automation tools (e.g., Python, Terraform, Bash).
  • Experience in multi-cloud or hybrid cloud environments, particularly with cross-platform data flows.
  • Exposure to public sector or large enterprise data transformation programs.
  • Knowledge of MDM, business intelligence reporting (e.g., Looker, Tableau), and advanced analytics tools.
Location:
  • Canberra (ACT) or Sydney (NSW) – Flexible hybrid arrangements available
  • Baseline or higher security clearance is advantageous

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